News from the group:
Research Exchange Fellowships - IAESTE (apply)
CAMDA 2023 - ISMB Conference Track, 26-27 July, Lyon, France (read more)
World-leading patient stratification - graph based cancer data integration (read more)
Confirming molecular mechanisms of tendon regeneration - a powerful ovine fetal model (read more)
CAMDA 2022
ISMB Conference Track,
11-12 July, Madison, USA
(read more)
NVIDIA GTC Best Poster Award
for MM Kańduła
at GTC'18
Outstanding Presentation Prize
for MM Kańduła
at CAMDA'17
Outstanding Presentation Prize
for PP Łabaj
at CAMDA'15 (photo)
Austrian Marshall Plan Foundation scholarship
for MM Kańduła
at Boston University
OeAW APART fellowship
for PP Łabaj
(photo)

Sequencing Quality Control (SEQC) project,
MAQC Consortium 2011–2014 (read more)
Host–parasite interactions in biocontrol, WWTF grant 2010–2013 (read more)

Power and limitations of RNA-Seq,
FDA SEQC, Nature Biotechnology (read more)
Characterization and improvement of RNA-Seq precision,
Bioinformatics (read more)
Impact of heavy tails in microarray analysis, Bioinformatics (read more)
Novel conserved repeats in sorting signals,
FEBS Journal (read more)
Sound sensation gene,
Nature communications
(read more)
RNA interference in ageing research,
Gerontology (read more)

Post-doctoral research fellow, bioinformatics, 5yrs+

We need an outstanding scientist excited about analysis close to the experimental lab and international collaboration.

We focus on the challenge of extracting structured insight from genome-scale experiments. Besides working with colleagues in the group, CEITEC there will be a regular exchange with a partner group at the Central European Institute of Technology in Brno, Czech Republic.

Bioinformatics. You must have a PhD in a technical or scientific field and have demonstrated experience in bioinformatics research through systems and data integration involving at least one of these areas:

  • Applied bioinformatics (sequence analysis, data mining, novel methods development, ...)
  • Classical statistics, probabilistic modelling, or machine learning.

Evidence of close collaboration with experimental labs is a clear advantage. You will be responsible for the development and aplication of modern approaches to data analysis challenges arising from high-throughput experiments. There will be a regular exchange with our partners in Brno.

We offer internationally competitive conditions and benefits. The position becomes available early 2014 and has an initial tenure of five years. We look forward to receiving your application. Applications will be considered until the position has been filled and should be addressed to David Kreil. Please include a cover letter, a curriculum vitae, a list of publications, and the names of three referees, who should be asked to send references to us directly. Feel free to please contact us if you have any questions.